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arxiv: 1501.00079 · v1 · pith:TMBWZ2QEnew · submitted 2014-12-31 · 🧮 math.CO

Colorful monochromatic connectivity of random graphs

classification 🧮 math.CO
keywords fracgraphleftrightfunctionmc-coloringmonochromaticconnected
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An edge-coloring of a connected graph $G$ is called a {\it monochromatic connection coloring} (MC-coloring, for short), introduced by Caro and Yuster, if there is a monochromatic path joining any two vertices of the graph $G$. Let $mc(G)$ denote the maximum number of colors used in an MC-coloring of a graph $G$. Note that an MC-coloring does not exist if $G$ is not connected, and in this case we simply let $mc(G)=0$. We use $G(n,p)$ to denote the Erd\"{o}s-R\'{e}nyi random graph model, in which each of the $\binom{n}{2}$ pairs of vertices appears as an edge with probability $p$ independently from other pairs. For any function $f(n)$ satisfying $1\leq f(n)<\frac{1}{2}n(n-1)$, we show that if $\ell n \log n\leq f(n)<\frac{1}{2}n(n-1)$ where $\ell\in \mathbb{R}^+$, then $p=\frac{f(n)+n\log\log n}{n^2}$ is a sharp threshold function for the property $mc\left(G\left(n,p\right)\right)\ge f(n)$; if $f(n)=o(n\log n)$, then $p=\frac{\log n}{n}$ is a sharp threshold function for the property $mc\left(G\left(n,p\right)\right)\ge f(n)$.

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